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@yuxiangw_cs
Director of ML @NeoCognition | Faculty @hdsiucsd | Prev @ucsbcs @SCSatCMU @awscloud. Researcher in ML, RL, Privacy, LLM. Building adaptive AI agent that scales.
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In posts, @yus167 expects simpler infrastructure and says static data and reinforcement learning could mix at any point during training.
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Unlike models with fixed tokenizers, H-Net learns to group raw bytes within the model, Cartesia says.
XAI
The incoming professor says they're recruiting PhD students and postdocs for fall 2027 in reinforcement learning and deep learning.
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A user predicts that AI will also take questions and explain insights.
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OpenAI restricts initial detector access to approved researchers and expert organizations, citing reliability limits.
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A user quote-posted a Northwestern CS link with the message, “Truly appreciate it!”
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A prospective attendee says they’ll be at COLM in San Francisco and invites people to find them for stickers or a chat.
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In an X post, Tong said he will investigate generative models for molecules. Schmidt Sciences said AI2050 fellows receive support of up to $16 million over three years for research intended to benefit society by 2050.
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A user assumes 100 million customers pay an average of $200 a month, including API spending, to estimate a market below $250 billion a year across all providers.
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A commenter questions how a prediction could be disproved without knowing what people might have privately. The reply limits the comparison to what is publicly available.
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A reply speculates that concatenating a prefix state embedding with different action embeddings could make a single prefill sufficient.
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In a September 16 update, the team behind MiMo-V2.6 said it was scaling compute, agent environments and grading, with plans to open-source details in stages.
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Posts say 25 Fields Medal winners signed a declaration warning of a mismatch between AI companies and mathematics. Supporters stress understanding and scientific communities; critics say AI proofs can still yield insights.
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NeoCognition says Fable 5.1 and GPT-6 Astra can continually learn on a real job and surpass human professionals.
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Dimitris Papailiopoulos shares a basic three-part roadmap for his exact recovery proof.
